Alexander I. Jordan
Researcher · Computational Statistics
Heidelberg Institute for Theoretical StudiesGermany
About
Dr. Alexander I. Jordan is a Staff Scientist in Computational Statistics at the Technical University of Denmark (DTU), affiliated with the Department of Informatics and Mathematical Modeling. His research focuses on probabilistic modeling, forecast evaluation, and statistical methodology development.
Research interests span probabilistic forecasting, classifier validation, quantile analysis, and computational methods in statistics. He has pioneered tools like Pandora for genotype data stability and scoringRules for probabilistic model evaluation, with applications across meteorology, astrophysics, and finance.
His publication record from 2012-2025 reveals expertise in
- Probabilistic Forecast Evaluation
- Bayesian Modeling
- Quantile-Based Risk Analysis
- Stellar Evolution Prediction
- AI Calibration Techniques
- Phylogenetic Probability Calculations
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